Principal components analysis based methodology to identify differentially expressed genes in time-course microarray data.
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A Review of Feature Selection and Feature Extraction Methods Applied on Microarray DataIn vivo Monitoring of Transcriptional Dynamics After Lower-Limb Muscle Injury Enables Quantitative Classification of HealingDefining developmental potency and cell lineage trajectories by expression profiling of differentiating mouse embryonic stem cellsAn algorithm for finding biologically significant features in microarray data based on a priori manifold learningTTCA: an R package for the identification of differentially expressed genes in time course microarray dataIndependent component analysis of Alzheimer's DNA microarray gene expression dataArray-based DNA methylation profiling of primary lymphomas of the central nervous system.Analysis of the heat shock response in mouse liver reveals transcriptional dependence on the nuclear receptor peroxisome proliferator-activated receptor alpha (PPARalpha).Independent component analysis: mining microarray data for fundamental human gene expression modulesNew dimensionality reduction methods for the representation of high dimensional 'omics' data.Estimating developmental states of tumors and normal tissues using a linear time-ordered model.Linear superposition and prediction of bacterial promoter activity dynamics in complex conditions.Discovery of Intermediary Genes between Pathways Using Sparse Regression.Analysis of the regulated transcriptome of Neisseria meningitidis in human blood using a tiling array.
P2860
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P2860
Principal components analysis based methodology to identify differentially expressed genes in time-course microarray data.
description
2008 nî lūn-bûn
@nan
2008 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Principal components analysis ...... n time-course microarray data.
@ast
Principal components analysis ...... n time-course microarray data.
@en
type
label
Principal components analysis ...... n time-course microarray data.
@ast
Principal components analysis ...... n time-course microarray data.
@en
prefLabel
Principal components analysis ...... n time-course microarray data.
@ast
Principal components analysis ...... n time-course microarray data.
@en
P2860
P356
P1433
P1476
Principal components analysis ...... n time-course microarray data.
@en
P2093
Rajagopalan Srinivasan
Sudhakar Jonnalagadda
P2860
P2888
P356
10.1186/1471-2105-9-267
P577
2008-06-06T00:00:00Z
P5875
P6179
1038592405